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SG Property Intel
HDB99-yearBuilt 2020Rest of Central RegionInvestment score 50

Blk 103B Bidadari Pk Dr

BIDADARI PK DR · TOA PAYOH · Singapore 342103 · D13

Median PSF · 12m

S$1,099

Median price · 12m

S$1.02M

Latest sale

S$1.10M

Jul 2026

1-year change

Sales · 12m

11

11 all time

Gross yield

5.52%

1 leases

Price history

How this development has traded

Median transacted price and price per square foot by quarter, from every sale on record here.

Change over window
-3.2%
Annualised
-4.2%
Transactions
11
1 year
3 years p.a.
5 years p.a.
Median size
1,001 sqft

Against the neighbourhood

How it compares within D13

Macpherson, Braddell, Potong Pasir. All figures are medians over the last 12 months for HDB flats in this district.

District analytics
MeasureBlk 103B Bidadari Pk DrD13 medianDifference
Median PSFS$1,099S$961+14.3%
Median priceS$1.02MS$819K+24.6%
Gross rental yield5.52%6.31%-0.8 pts
1-year price change+10.4%

This development trades about 14% above the D13 median price per square foot.

Rental

Rent and yield

From HDB approved subletting contracts published on data.gov.sg.

Median monthly rent

S$3,800

Contracts · 12m

1

Implied annual rent

S$46K

Gross yield

5.52%

Unit typeContractsMedian rent
3 ROOM1S$3,800

Investment analysis

Investment score 50 / 100

Each component is a percentile rank against every other HDB block in the database. This is an analytical indicator, not financial advice.

50/100

82% of the scoring weight measurable

Every bar is a percentile rank, so 70 means this development sits above roughly 70% of its peers on that factor. Factors we cannot measure are excluded and the remaining weights are rebalanced, rather than scored as zero.

  • Supply riskweight 10%100

    Upcoming units recorded in the same district. Higher score means less competing supply.

  • Liquidityweight 15%99

    Transactions in the last 12 months — how easily it trades.

  • Locationweight 15%51

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Woodleigh MRT at 440 m.

  • Rental yieldweight 20%25

    Gross yield against every other development in its segment.

  • Valuationweight 22%16

    How its median price per square foot compares with its own district.

  • Price momentumweight 18%not measurable

    Three-year annualised change in median PSF, or one year where three is unavailable.

Not enough data to score price momentum.

The investment score is an analytical indicator computed from transaction and location data. It is not a recommendation, a forecast, or financial advice.

Location

Nearby amenities

Rail stations

  • Woodleigh MRT440 m
  • Potong Pasir MRT460 m
  • Bartley MRT1.3 km
  • Geylang Bahru MRT1.5 km

Schools within 2 km

  • Cedar Girls' Secondary Schoolsecondary (s1-s4)320 m
  • Cedar Primary Schoolprimary480 m
  • St Andrew'S School (Secondary)secondary (s1-s5)750 m
  • St Andrew'S School (Junior)primary800 m
  • St Andrew'S Junior Collegejunior college890 m
  • Maris Stella High Schoolmixed level (p1-s4)1.0 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

No upcoming supply is recorded nearby. URA pipeline data requires an API key, which is not configured, so this section may be incomplete.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jul 20264 ROOMS$1,100,0001,001 sqftS$1,09910 TO 1294 yrs
Jul 20264 ROOMS$1,020,0001,001 sqftS$1,01904 TO 0694 yrs
Jun 20263 ROOMS$828,000732 sqftS$1,13110 TO 1294 yrs
Apr 20264 ROOMS$1,150,0001,001 sqftS$1,14910 TO 1294 yr 3 mo
Mar 20264 ROOMS$1,095,0001,001 sqftS$1,09407 TO 0994 yr 4 mo
Mar 20264 ROOMS$1,095,0001,001 sqftS$1,09407 TO 0994 yr 4 mo
Mar 20263 ROOMS$830,000732 sqftS$1,13413 TO 1594 yr 4 mo
Feb 20264 ROOMS$1,120,0001,001 sqftS$1,11910 TO 1294 yr 5 mo
Feb 20264 ROOMS$1,005,0001,001 sqftS$1,00404 TO 0694 yr 5 mo
Feb 20263 ROOMS$825,000732 sqftS$1,12704 TO 0694 yr 5 mo
Feb 20263 ROOMS$778,000732 sqftS$1,06304 TO 0694 yr 4 mo

Important

Property values shown are estimates generated from available transaction and market data and are not official valuations. Actual transaction prices may differ. Data availability and accuracy depend on the underlying source datasets. Users should conduct their own due diligence and seek professional advice where appropriate.